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DBMS > Amazon DocumentDB vs. atoti vs. GeoSpock vs. Hypertable vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. atoti vs. GeoSpock vs. Hypertable vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonatoti  Xexclude from comparisonGeoSpock  Xexclude from comparisonHypertable  Xexclude from comparisonYaacomo  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Spatial and temporal data processing engine for extreme data scaleAn open source BigTable implementation based on distributed file systems such as HadoopOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeObject oriented DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Websiteaws.amazon.com/­documentdbatoti.iogeospock.comyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.atoti.io
DeveloperActiveViamGeoSpockHypertable Inc.Q2WEB GmbH
Initial release201920092009
Current release2.0, September 20190.9.8.11, March 2016
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC++
Server operating systemshostedhostedLinux
OS X
Windows infoan inofficial Windows port is available
Android
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyestemporal, categoricalrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)ANSI SQL for query only (using Presto)noyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCC++ API
Thrift
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoPythonnono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per tablenofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBatotiGeoSpockHypertableYaacomo
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